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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 15816
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    oai_token-act-pair · gpt-3.5-turbo

    nouns related to technological components and equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lear
    -0.65
    stream
    -0.65
    âĸ¬
    -0.64
    DATA
    -0.63
    à¨
    -0.62
    âķIJâķIJ
    -0.61
    ãĤ¨ãĥ«
    -0.61
    ×ŀ
    -0.61
    PUT
    -0.61
    é¾įå
    -0.59
    POSITIVE LOGITS
    hips
    1.38
    hip
    1.13
    poons
    1.06
    etter
    1.02
    uits
    0.98
    etting
    0.98
    paces
    0.97
    hops
    0.90
    mith
    0.90
    heet
    0.90
    Activations Density 0.678%

    No Known Activations